Triple
T10471250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jess (Venus) |
E246926
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Jess
Jess is a given name commonly used as a short form of Jessica or Jesse.
|
E385770
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jess | Statement: [Jess (Venus), name, Jess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jess Context triple: [Jess (Venus), name, Jess]
-
A.
Jess
Jess is a supporting character in the romantic comedy film "When Harry Met Sally..." who serves as Harry’s best friend and provides comic relief and relationship advice.
-
B.
Jennifer
Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
-
C.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
D.
Jane
Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
-
E.
Jane
Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jess Triple: [Jess (Venus), name, Jess]
Generated description
Jess is a given name commonly used as a short form of Jessica or Jesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jess Target entity description: Jess is a given name commonly used as a short form of Jessica or Jesse.
-
A.
Jess
chosen
Jess is a supporting character in the romantic comedy film "When Harry Met Sally..." who serves as Harry’s best friend and provides comic relief and relationship advice.
-
B.
Jennifer
Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
-
C.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
D.
Jane
Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
-
E.
Jane
Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a45e5a108190ba8e6ba4af858b19 |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a890c6b081908e57cc74f18d788b |
completed | April 10, 2026, 7:36 a.m. |
Created at: April 6, 2026, 12:20 p.m.